Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2010-2-25
pubmed:abstractText
The increasing use of geographic information systems (GIS) in epidemiological population studies requires careful attention to the methods employed in accomplishing geocoding and creating a GIS. Studies have provided limited details,hampering the ability to assess validity of spatial data. The purpose of this paper is to describe the multiphase geocoding methods used to retrospectively create a GIS in the Jackson Heart Study (JHS). We used baseline data from 5,302 participants enrolled in the JHS between 2000 and 2004 in a multiphase process to accomplish geocoding2 years after participant enrollment. After initial deletion of ungeocodable addresses(n=52), 96% were geocoded using ArcGIS. An interactive method using data abstraction from participant records, use of additional maps and street reference files,and verification of existence of address, yielded successful geocoding of all but 13 addresses. Overall, nearly 99% (n=5,237) of the JHS cohort was geocoded retrospectively using the multiple strategies for improving and locating geocodable addresses. Geocoding validation procedures revealed highly accurate and reliable geographic data. Using the methods and protocol developed provided a reliable spatial database that can be used for further investigation of spatial epidemiology. Baseline results were used to describe participants by select geographic indicators, including residence in urban or rural areas, as well as to validate the effectiveness of the study's sampling plan. Further, our results indicate that retrospectively developing a reliable GIS for a large, epidemiological study is feasible. This paper describes some of the challenges in retrospectively creating a GIS and provides practical tips that enhanced the success.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-11441740, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-11450679, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-11454499, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-12018004, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-12084688, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-12401742, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-12578802, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-12594195, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-12843760, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-12843762, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-12843763, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-15313082, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-15367870, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-15951673, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-16483563, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-16857050, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-17094141, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-17130687, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-17234484, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-17367520, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-17393945, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-18633086, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-19032791, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-19130191, http://linkedlifedata.com/resource/pubmed/commentcorrection/20187277-9215223
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1468-2869
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
87
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
136-50
pubmed:dateRevised
2011-7-19
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Methods for retrospective geocoding in population studies: the Jackson Heart Study.
pubmed:affiliation
School of Nursing, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS 39216-4505, USA. jcrobinson@son.umsmed.edu
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural, Validation Studies